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1302.4389
Cited By
Maxout Networks
18 February 2013
Ian Goodfellow
David Warde-Farley
M. Berk Mirza
Aaron Courville
Yoshua Bengio
OOD
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Papers citing
"Maxout Networks"
50 / 810 papers shown
Title
On the energy landscape of deep networks
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0
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Variance Reduction in SGD by Distributed Importance Sampling
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Alex Lamb
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Aaron Courville
Yoshua Bengio
FedML
13
196
0
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
71
13,932
0
19 Nov 2015
All you need is a good init
Dmytro Mishkin
Jirí Matas
ODL
27
604
0
19 Nov 2015
A Unified Gradient Regularization Family for Adversarial Examples
Chunchuan Lyu
Kaizhu Huang
Hai-Ning Liang
AAML
6
207
0
19 Nov 2015
Manifold Regularized Deep Neural Networks using Adversarial Examples
Taehoon Lee
Minsuk Choi
Sungroh Yoon
AAML
GAN
OOD
17
14
0
19 Nov 2015
Manifold Regularized Discriminative Neural Networks
Shuangfei Zhai
Zhongfei Zhang
AI4CE
9
2
0
19 Nov 2015
Reducing Overfitting in Deep Networks by Decorrelating Representations
Michael Cogswell
Faruk Ahmed
Ross B. Girshick
C. L. Zitnick
Dhruv Batra
26
411
0
19 Nov 2015
Convolutional neural networks with low-rank regularization
Cheng Tai
Tong Xiao
Yi Zhang
Xiaogang Wang
E. Weinan
BDL
9
460
0
19 Nov 2015
Net2Net: Accelerating Learning via Knowledge Transfer
Tianqi Chen
Ian Goodfellow
Jonathon Shlens
11
663
0
18 Nov 2015
Competitive Multi-scale Convolution
Zhibin Liao
G. Carneiro
20
44
0
18 Nov 2015
Predicting distributions with Linearizing Belief Networks
Yann N. Dauphin
David Grangier
26
18
0
17 Nov 2015
On the interplay of network structure and gradient convergence in deep learning
V. Ithapu
Sathya Ravi
Vikas Singh
16
3
0
17 Nov 2015
Jet-Images -- Deep Learning Edition
Luke de Oliveira
Michael Kagan
Lester W. Mackey
Benjamin Nachman
A. Schwartzman
PINN
10
310
0
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Deep Linear Discriminant Analysis
Matthias Dorfer
Rainer Kelz
Gerhard Widmer
9
133
0
15 Nov 2015
8-Bit Approximations for Parallelism in Deep Learning
Tim Dettmers
13
176
0
14 Nov 2015
Learning Fine-grained Features via a CNN Tree for Large-scale Classification
Zhenhua Wang
Xingxing Wang
G. Wang
25
49
0
14 Nov 2015
Efficient Training of Very Deep Neural Networks for Supervised Hashing
Ziming Zhang
Yuting Chen
Venkatesh Saligrama
23
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0
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Learning to Assign Orientations to Feature Points
K. M. Yi
Yannick Verdié
Pascal Fua
Vincent Lepetit
14
124
0
13 Nov 2015
Universum Prescription: Regularization using Unlabeled Data
Xiang Zhang
Yann LeCun
11
31
0
11 Nov 2015
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning
Pingbo Pan
Zhongwen Xu
Yi Yang
Fei Wu
Yueting Zhuang
16
385
0
11 Nov 2015
A Light CNN for Deep Face Representation with Noisy Labels
Xiang Wu
Ran He
Zhenan Sun
Tieniu Tan
CVBM
27
1,064
0
09 Nov 2015
Batch-normalized Maxout Network in Network
Jia-Ren Chang
Yonghao Chen
OOD
24
108
0
09 Nov 2015
How far can we go without convolution: Improving fully-connected networks
Zhouhan Lin
Roland Memisevic
K. Konda
19
50
0
09 Nov 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
6
2,969
0
02 Nov 2015
A Survey: Time Travel in Deep Learning Space: An Introduction to Deep Learning Models and How Deep Learning Models Evolved from the Initial Ideas
Haohan Wang
Bhiksha Raj
AI4TS
23
34
0
16 Oct 2015
Generative Adversarial Networks in Estimation of Distribution Algorithms for Combinatorial Optimization
Malte Probst
GAN
16
7
0
30 Sep 2015
Deep Haar Scattering Networks
Xiuyuan Cheng
Xu Chen
S. Mallat
16
30
0
30 Sep 2015
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
Chen-Yu Lee
Patrick W. Gallagher
Z. Tu
AI4CE
13
483
0
30 Sep 2015
Deep Trans-layer Unsupervised Networks for Representation Learning
Wentao Zhu
Jun Miao
Laiyun Qing
Xilin Chen
SSL
19
2
0
27 Sep 2015
Tensorizing Neural Networks
Alexander Novikov
D. Podoprikhin
A. Osokin
Dmitry Vetrov
16
874
0
22 Sep 2015
Towards universal neural nets: Gibbs machines and ACE
Galin Georgiev
AI4CE
BDL
15
2
0
26 Aug 2015
Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data
Salman H. Khan
Munawar Hayat
Bennamoun
Ferdous Sohel
R. Togneri
23
873
0
14 Aug 2015
Evaluating software-based fingerprint liveness detection using Convolutional Networks and Local Binary Patterns
Rodrigo Nogueira
R. Lotufo
R. C. Machado
9
92
0
03 Aug 2015
On the Importance of Normalisation Layers in Deep Learning with Piecewise Linear Activation Units
Zhibin Liao
G. Carneiro
14
62
0
03 Aug 2015
Training Very Deep Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
21
1,669
0
22 Jul 2015
Compression of Fully-Connected Layer in Neural Network by Kronecker Product
Shuchang Zhou
Jia-Nan Wu
30
26
0
21 Jul 2015
Learning Robust Deep Face Representation
Xiang Wu
CVBM
OOD
20
8
0
17 Jul 2015
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
Iulian Serban
Alessandro Sordoni
Yoshua Bengio
Aaron Courville
Joelle Pineau
AILaw
16
1,747
0
17 Jul 2015
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
12
1,364
0
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Feature Representation in Convolutional Neural Networks
Ben Athiwaratkun
Keegan Kang
FAtt
SSL
18
75
0
08 Jul 2015
Grid Long Short-Term Memory
Nal Kalchbrenner
Ivo Danihelka
Alex Graves
AI4TS
21
362
0
06 Jul 2015
End-to-end Convolutional Network for Saliency Prediction
Junting Pan
Xavier Giró-i-Nieto
27
23
0
06 Jul 2015
Distributional Smoothing with Virtual Adversarial Training
Takeru Miyato
S. Maeda
Masanori Koyama
Ken Nakae
S. Ishii
24
458
0
02 Jul 2015
Energy-efficient neuromorphic classifiers
Daniel Martí
Mattia Rigotti
Mingoo Seok
Stefano Fusi
36
33
0
01 Jul 2015
Reading Scene Text in Deep Convolutional Sequences
Pan He
Weilin Huang
Yu Qiao
Chen Change Loy
Xiaoou Tang
21
307
0
14 Jun 2015
Spectral Representations for Convolutional Neural Networks
Oren Rippel
Jasper Snoek
Ryan P. Adams
18
327
0
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Random Maxout Features
Youssef Mroueh
Steven J. Rennie
Vaibhava Goel
18
7
0
11 Jun 2015
Deep SimNets
Nadav Cohen
Or Sharir
Amnon Shashua
29
46
0
09 Jun 2015
Flowing ConvNets for Human Pose Estimation in Videos
Tomas Pfister
James Charles
Andrew Zisserman
3DH
24
557
0
09 Jun 2015
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